Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(8)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(29)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(147)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

InsurTalks Podcast with Horacio Sanchez-Granel: Can Insurers respond swiftly to customer needs during a Pandemic?

7 minutes, 50 seconds read

According to the International Monetary Fund (IMF), the global economy is expected to shrink by over 3 percent in 2020 – the steepest slowdown since the Great Depression of the 1930s. To understand the impact of the COVID crisis in the Latin American Insurance Industry, we interviewed Mr. Horacio Sanchez- Granel from Buenos Aires, Argentina, and Insurance & Reinsurance Consultant.

Mr. Horacio has been Chairman and CEO of Boston Seguros, P&C and Life Insurance company for 21 years. Previously, he held senior executive positions in three insurance companies and has several years of experience managing financial service institutions. He has also held other executive positions in an Argentinian oil company and a tractor and industrial machinery international company. Currently, he is a Board Member and part of the Executive Committee in Nacion Seguros, the state-owned insurance company. He also works as an insurance and reinsurance consultant for Argentine and Latin American markets.

Connect with Mr. Horacio – LinkedIn

The excerpt from the interview:

Customer Relationship during the pandemic

Insurance companies play a pivotal role during times of economic stress by helping companies and individuals manage risks and cushion against losses. How should Insurers respond to their customer’s needs, especially since there will be scrutiny about how they respond during this critical time — and it will dictate public perception for many years to come?

Mr. Horacio: Insurers must safeguard the interests of their clients and advise them on the scope of the coverage. They must communicate that the coverage is not infinite but rather has limits in terms of the risks covered, amount insured, and the origin of the claim. There are doubtful cases but insurers should be flexible enough and protect their client from damages. It was not possible to predict COVID-19. Both Life and P&Cs have been affected and have huge arrears to be paid. 

On the other hand, claims processes need to be more transparent. They should adhere to the compliances of the insurance companies. In these times, selling agents and insurance brokers should be more flexible and build close relationships with the clients. They should explain to them the possibility of the claim they are trying to reimburse. In Latin America, we don’t have many claims related to business interruption. That coverage is not very common here. 

Especially in Argentina, businesses have slowed down due to lockdowns. The claims ratio in this area is going down but claims in life insurance policies have increased a bit. However, the impact here is not as big as the USA or Europe.  

Business Continuity in the time of Pandemics

What are some new business models that Insurance Carriers are considering to meet the expectations of life in ‘The New Normal’? More specifically, where is the new business going to come from, for Insurance, over the next two years?

Mr. Horacio: The outbreak of the COVID-19 pandemic has changed the dynamics of work culture, human relationships, and daily routines. Many companies including insurers are adopting digital solutions within their operations. Organizations are reimagining their business models to adapt to new paradigms to be more sustainable and profitable. 

The New Normal has given rise to new coverages in various insurance lines to cover risks originated by this pandemic or any possible future pandemics. 

For example, new clauses such as Loss of Profit due to business interruption and pandemics in Life and Health insurance, and worker’s compensation will now be included in the respective policies. Interruption of business processes entails new set-up and investment. Some other new coverages will also be introduced such as the cost of maintenance due to the non-use of offices, premises, or industrial facilities. Cyber Insurance will now be a must as most of the workforce is working remotely. The rate of cybercrimes was much higher in developed countries before the pandemic, but now even the developing countries are at risk. This will accelerate the need for Cyber Insurance in developing countries. 

Road to recovery

Many General Insurance lines are hit- Travel, Motor, Home – what will be the road to recovery for these Insurance lines?

Mr. Horacio: Since people are avoiding travel altogether, the travel and motor insurance industry are hit badly. Many customers in Argentina are asking Insurance companies to give some discount on the premiums. We will see some big changes in these insurance lines. Going forward, on-demand or pay-as-you-use policies will prevail more in these insurance lines. 

Role of AI in pandemic crisis management

Before the Pandemic crisis began, technologies like AI have been instrumental in modernizing the business of insurance and advancing their digital transformation. Where are some of the biggest gaps being exposed to insurance organizations, and How is technology going to solve these problems?

Mr. Horacio: Going forward, AI along with IoT and other technologies will play a crucial role in the Insurance industry as a whole. They will rely on statistical analysis of large databases to predict future behaviors. The new challenge is how to incorporate unknown risks into the existing models to be able to properly underwrite and price risks, anticipate client behavior, facilitate complex operating processes, manage complex claims and detect possible frauds.

Financial assets are the main asset of an insurance company. They are under the influence of the volatility of financial markets. Technology here can help by analyzing different scenarios but the ultimate decision is in the hands of the banks. 

Challenges & opportunities in adoption of AI

Why Insurers hesitate to invest in AI?

Mr. Horacio:  Companies were investing in technology earlier, but now it has accelerated due to the unprecedented change brought about by COVID-19 pandemic. Not just the developed countries but in developing countries such as Latin America, I see a big wave of new investments in technology. Technology companies are also looking forward to this change. Insurers will eventually overcome their hesitation and invest more in AI and other technologies. 

[Related: 5 Challenges in AI implementation for Insurers]

Which area will see max Investment in AI- claims, underwriting, fraud detection, marketing in Argentina, and Latin American Insurance markets?

Mr. Horacio: Before the outbreak of the COVID-19 pandemic, investment in AI was more targeted towards claims, fraud, underwriting, back-office operations, etc. Going forward, predicting future scenarios will be a challenge. Historical data might not be useful here. Therefore, in the New Normal, all aspects of an Insurance company will have to be developed under the umbrella of AI.

Product Innovation

Consumers, now more than ever are seeking value-added experiences with the products & services they buy. How will these expectations amidst this Pandemic backdrop impact new product innovation within insurance? 

Mr. Horacio: Customers want a more palpable relationship with their insurers. Customer Experience is going to be a fundamental aspect during the purchase of insurance coverage. In addition to being simple, the purchase and subscription process will have to be perceived as a service that accompanies the client at every moment they need it. These additions will help insurers gain more information on their customer’s actions and behavior. Based on this data, they can dynamically adapt the coverage and pricing of the product. I call it — Dynamic-on-demand coverage. 

Challenges in Latin American Insurance industry

What are some of the technological challenges faced by Insurers in Argentina and Latin American markets operating in the New Normal? 

Mr. Horacio: Insurance industry for many years has been static but now is moving forward in many ways. The world including the Latin American Insurance is witnessing rapid development in terms of technology. The InsurTech industry is parallel to the Insurance industry. It aids in the development of the insurance companies. The whole world of insurance is making advances in technology. Different economics have different buying patterns for insurance products. One such insurance product that should develop is Microinsurance

Microinsurance needs technology, without which it is very difficult to manage. In a sense, the outbreak of COVID-19 was beneficial in accelerating these technological developments.   

[Related – AI can help bridge customer gaps for microinsurers]

Insurance buying behavior in the post-pandemic world

In a post-pandemic World, will insurance ever be bought offline? Or have we crossed the threshold for now buying policies purely online? 

Mr. Horacio:  Personal line insurances such as car, accident, personal, travel, microinsurance are mostly purchased online. In Argentina, 60% of the insurance policies are sold by traditional marketing and sales through brokers. However, in commercial, industrial, energy, transport, and large companies in general, the marketing and sales will continue the traditional ways but through electronic means. The use of IoT, sensors, drones dynamically monitoring the facilities and processes in different industries is increasing. Argentina, which is an agro-based country already has technologies such as drones and IoT which monitor the crops in place. AI will surely be crucial here to analyze the data and enable quick decisions in case of a fire or an accident.  

Wrapping up

Summing up — Mr. Horacio Sanchez-Granel shared valuable insights on the challenges in the Latin American Insurance Industry, how AI technologies can aid in policymaking and rise in dynamic-on-demand policies in the post-pandemic world.

AI is going to be essential for Insurers to gain that competitive edge in the post-pandemic world. Check out Hitee — an Insurance specific chatbot for driving customer engagement. For your specific requirements, please feel free to write to us at hello@mantralabsglobal.com.

Podcasts in this series:

Cancel

Knowledge thats worth delivered in your inbox

Silent Drains: How Poor Data Observability Costs Enterprises Millions

Let’s rewind the clock for a moment. Thousands of years ago, humans had a simple way of keeping tabs on things—literally. They carved marks into clay tablets to track grain harvests or seal trade agreements. These ancient scribes kickstarted what would later become one of humanity’s greatest pursuits: organizing and understanding data. The journey of data began to take shape.

Now, here’s the kicker—we’ve gone from storing the data on clay to storing the data on the cloud, but one age-old problem still nags at us: How healthy is that data? Can we trust it?

Think about it. Records from centuries ago survived and still make sense today because someone cared enough to store them and keep them in good shape. That’s essentially what data observability does for our modern world. It’s like having a health monitor for your data systems, ensuring they’re reliable, accurate, and ready for action. And here are the times when data observability actually had more than a few wins in the real world and this is how it works

How Data Observability Works

Data observability involves monitoring, analyzing, and ensuring the health of your data systems in real-time. Here’s how it functions:

  1. Data Monitoring: Continuously tracks metrics like data volume, freshness, and schema consistency to spot anomalies early.
  2. Automated data Alerts: Notify teams of irregularities, such as unexpected data spikes or pipeline failures, before they escalate.
  3. Root Cause Analysis: Pinpoints the source of issues using lineage tracking, making problem-solving faster and more efficient.
  4. Proactive Maintenance: Predicts potential failures by analyzing historical trends, helping enterprises stay ahead of disruptions.
  5. Collaboration Tools: Bridges gaps between data engineering, analytics, and operations teams with a shared understanding of system health.

Real-World Wins with Data Observability

1. Preventing Retail Chaos

A global retailer was struggling with the complexities of scaling data operations across diverse regions, Faced with a vast and complex system, manual oversight became unsustainable. Rakuten provided data observability solutions by leveraging real-time monitoring and integrating ITSM solutions with a unified data health dashboard, the retailer was able to prevent costly downtime and ensure seamless data operations. The result? Enhanced data lineage tracking and reduced operational overhead.

2. Fixing Silent Pipeline Failures

Monte Carlo’s data observability solutions have saved organizations from silent data pipeline failures. For example, a Salesforce password expiry caused updates to stop in the salesforce_accounts_created table. Monte Carlo flagged the issue, allowing the team to resolve it before it caught the executive attention. Similarly, an authorization issue with Google Ads integrations was detected and fixed, avoiding significant data loss.

3. Forbes Optimizes Performance

To ensure its website performs optimally, Forbes turned to Datadog for data observability. Previously, siloed data and limited access slowed down troubleshooting. With Datadog, Forbes unified observability across teams, reducing homepage load times by 37% and maintaining operational efficiency during high-traffic events like Black Friday.

4. Lenovo Maintains Uptime

Lenovo leveraged observability, provided by Splunk, to monitor its infrastructure during critical periods. Despite a 300% increase in web traffic on Black Friday, Lenovo maintained 100% uptime and reduced mean time to resolution (MTTR) by 83%, ensuring a flawless user experience.

Why Every Enterprise Needs Data Observability Today

1. Prevent Costly Downtime

Data downtime can cost enterprises up to $9,000 per minute. Imagine a retail giant facing data pipeline failures during peak sales—inventory mismatches lead to missed opportunities and unhappy customers. Data observability proactively detects anomalies, like sudden drops in data volume, preventing disruptions before they escalate.

2. Boost Confidence in Data

Poor data quality costs the U.S. economy $3.1 trillion annually. For enterprises, accurate, observable data ensures reliable decision-making and better AI outcomes. For instance, an insurance company can avoid processing errors by identifying schema changes or inconsistencies in real-time.

3. Enhance Collaboration

When data pipelines fail, teams often waste hours diagnosing issues. Data observability simplifies this by providing clear insights into pipeline health, enabling seamless collaboration across data engineering, data analytics, and data operations teams. This reduces finger-pointing and accelerates problem-solving.

4. Stay Agile Amid Complexity

As enterprises scale, data sources multiply, making Data pipeline monitoring and data pipeline management more complex. Data observability acts as a compass, pinpointing where and why issues occur, allowing organizations to adapt quickly without compromising operational efficiency.

The Bigger Picture:

Are you relying on broken roads in your data metropolis, or are you ready to embrace a system that keeps your operations smooth and your outcomes predictable?

Just as humanity evolved from carving records on clay tablets to storing data in the cloud, the way we manage and interpret data must evolve too. Data observability is not just a tool for keeping your data clean; it’s a strategic necessity to future-proof your business in a world where insights are the cornerstone of success. 

At Mantra Labs, we understand this deeply. With our partnership with Rakuten, we empower enterprises with advanced data observability solutions tailored to their unique challenges. Let us help you turn your data into an invaluable asset that ensures smooth operations and drives impactful outcomes.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot